A simple guide of R Shiny to analyze, explore, and predict bike-sharing registrations.
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Updated
Aug 24, 2020 - R
A simple guide of R Shiny to analyze, explore, and predict bike-sharing registrations.
Data analytics of a bike sharing system in R. Kaggle challenge data: https://www.kaggle.com/c/bike-sharing-demand/data
Analysis of the Bike-Sharing System for the following question: "How do annual members and casual riders use Cyclistic bikes differently?"
This project aims to predict the number of bikes using regression models., following the CRISP-DM approach
Case Study Cyclistic Bike-Share Data - Capstone Google Data Analytics
Data exploratory analysis focused on data visualization of trips made by "mi bici" the public bike program in Guadalajara Mexico.
This project is a capstone part of the Google Data Analytics Professional Certificate on Coursera. This project involves data preparation, data preprocessing, data analysis and data visualization.
This repository contains a full data analysis project for Cyclistic, a fictional bike-share company based in Chicago. As part of the marketing analytics team, the project focuses on understanding how annual members and casual riders differ in their usage behavior.
The Cyclistic Bike-Share Analysis explores Chicago's Divvy bike-sharing data to identify strategies for converting casual riders into annual members through detailed usage pattern analysis.
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